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International Conference on Electronics, Communications and control (ICECC)

作者： Xinbin Li Lei Liu Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yan Shan University Qinhuangdao China

Spectrum sensing plays a critical role in cognitive radio networks. A good sensing scheme can reduce the false alarm probability and increase the detection probability, and thus improves utilization. In this paper, in order to avoid the defect that cooperative spectrum sensing based on Particle Swarm Optimization (PSO) algorithm is easy to trap into a local optimization. We propose a population adaptive Gbest-guided artificial bee colony (PA-GABC) algorithm and it is applied to cooperative spectrum sensing for cognitive radios field. Simulations are performed to compare the performance of the PA-GABC algorithm and traditional artificial bee colony (ABC) algorithm. The performance of the proposed cooperative spectrum sensing method based on the PA-GABC and that of the cooperative spectrum sensing method using particle swarm optimization (PSO) algorithm are also compared. Results show that the proposed PA-GABC-based cooperative spectrum sensing method is efficient and stable, and it gets higher detection probability than the ABC-based method and the PSO-based method under the same probability of false alarm.

关键词： Sensors Cognitive radio Algorithm design and analysis Optimization Signal processing algorithms Particle swarm optimization Electrical engineering

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Fault search based on grey fuzzy multi-attribute decision-making

Fault search based on grey fuzzy multi-attribute decision-ma...

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International Conference on Fluid Power and Mechatronics (FPM)

作者： Chengyu Yao Zhen Dang Dongning Chen Shijun Lv Key Laboratory of Industrial Computer Control Engineering of Hebei Yanshan University Qinhuangdao China Key Laboratory of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University Qinhuangdao China

In order to overcome the characteristics of uncertainty and incomplete information of fault attribute in searching for fault, a new fault search method based on the fault tree and grey fuzzy multi-attribute decision-making is proposed in this paper. Firstly, utilizing fault tree analysis (FTA) method to determine the initial fault alternative, fault probability and search cost of the fault alternative are considered as fault attributes simultaneously, the attribute value of fault alternative is described as grey fuzzy numbers, calculating the attribute weight by the information entropy method. Then, the grey relational grade between the fault alternative and the ideal alternative is calculated base on grey relational analysis method, and relative closeness of fault alternative is achieved. Finally, according to the relative closeness determine the search order of all fault alternatives. An engineering example of the hydraulic suspension system of a certain type truck is adopted to demonstrate the feasibility and accuracy of the proposed method.

关键词： Decision making Fault trees Suspensions Search methods Pragmatics Fault diagnosis Manganese

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A data processing and analysis testbed for WSNs: Design and implementation

A data processing and analysis testbed for WSNs: Design and ...

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International Conference on Communications and Mobile Computing

作者： Cheng, Peng Cao, Xianghui Chen, Jiming Cao, Kejie Sun, Youxian Shen, Xuemin State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9780769543574

In this paper, we design and implement a reliable data processing and analysis test bed (NESCTB) for wireless sensor networks (WSNs). It contains 36 wireless sensor nodes connected through Ethernet to a central server so that, with web interface, remote users are able to schedule tasks and monitor the nodes' operations online. In addition, reprogramming and data logging can also be provided via the wired network. Powerful data processing and analysis tools are developed for information searching and processing, real-time topology visualization, 2-D and 3-D viewing of statistical diagrams, snapshots and timing sequences. The tools can significantly improve user-friendliness and operability of the test bed. The application scenarios of the test bed are discussed and a validation experiment for the referred application case NESCSurge demonstrates the convenience and effectiveness of NESCTB. © 2011 IEEE.

关键词： Visualization

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On energy-efficient trap coverage in wireless sensor networks

On energy-efficient trap coverage in wireless sensor network...

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2011 32nd IEEE Real-Time Systems Symposium, RTSS 2011

作者： Li, Junkun Chen, Jiming He, Shibo He, Tian Gu, Yu Sun, Youxian State Key Lab. of Industrial Control Technology Zhejiang University China Computer Science and Engineering University of Minnesota United States Pillar of Information System Technology and Design Singapore University of Technology and Design Singapore Singapore

ISBN: (纸本)9780769545912

In wireless sensor networks (WSNs), trap coverage has recently been proposed to tradeoff between the availability of sensor nodes and sensing performance. It offers an efficient framework to tackle the challenge of limited resources in large scale sensor networks. Currently, existing works only studied the theoretical foundation of how to decide the deployment density of sensors to ensure the desired degree of trap coverage. However, the practical issues such as how to efficiently schedule sensor node to guarantee trap coverage under an arbitrary deployment is still left untouched. In this paper, we formally formulate the Minimum Weight Trap Cover Problem and prove it is an NP-hard problem. To solve the problem, we introduce a bounded approximation algorithm, called Trap Cover Optimization (TCO) to schedule the activation of sensors while satisfying specified trap coverage requirement. The performance of MinimumWeight Trap Coverage we find is proved to be at most O(ρ) times of the optimal solution, where ρ is the density of sensor nodes in the region. To evaluate our design, we perform extensive simulations to demonstrate the effectiveness of our proposed algorithm and show that our algorithm achieves at least 14% better energy efficiency than the state-of-the-art solution. © 2011 IEEE.

关键词： Sensor nodes

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Adaptive Particle Swarm-Based Fuzzy Clustering Algorithm in the Application of Steam Drum Pulverized Coal Fired Boiler

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International Journal of Advancements in Computing Technology 2011年第11期3卷 444-452页

作者： Ma, Yunfei Niu, Peifeng Zhao, Yantao Ma, Xiaofei Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 Hebei Province China Key Laboratory of Hebei Province Industrial Computer Control Engineering Yanshan University Qinhuangdao 066004 China Northeastern University at Qinhuangdao Qinhuangdao 06600 China

The Pulverized Coal Fired Boiler is a control object with time-varying parameters, large delay and multivariate tight-coupling. This paper, aiming at improving the actualities of excessive parameters and suboptimal data clustering effect in the Steam Drum Pulverized Coal Boiler running, proposes a new algorithm - Fuzzy Clustering Algorithm (APFM) to fulfill the efficiency optimization of the boiler combustion. Based on the Adaptive Particle Swarm Optimization Algorithm (APSO), this new algorithm overcomes the disadvantages of FCM algorithm such as the sensitivity to initial value and the easy involvement in partial optimum, and enhances the abilities of APSO algorithm such as global search and escape from partial optimum. Finally, the feasibility and effectiveness of this clustering method is demonstrated through the simulation experiment.

关键词： Fuzzy clustering

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Bearing fault detection and diagnosis of a wind turbine

Bearing fault detection and diagnosis of a wind turbine

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International Conference on Consumer Electronics, Communications and Networks

作者： Shenggang Yang Xiaoli Li Ming Liang Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University슠 Qinhuangdao China Department of Mechanical Engineering University of Ottawa Ottawa ONT Canada

The most commonly used components in a wind turbine are bearings which failure could lead to malfunction and ultimately complete stall of a mission-critical equipment. Hence, bearing Fault Detection is an imperative part of preventive maintenance procedures of a wind turbine. This paper presents a Free Parameter method to implement bearing fault diagnosis. This method extracts the amplitude and frequency modulations of the vibration signals that measure from a wind turbine system. As the amplitude demodulation is inherent in it, the fault frequency will be detected from the spectrum of the signal. Simulated signal and experimental data has validated the effectiveness of this method.

关键词： Resonant frequency Vibrations Band pass filters Wind turbines Harmonic analysis Fault detection Power harmonic filters

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Sensor selection for an accurate closed form localization in cognitive radio networks: The trade-off between model accuracy and geometry structure

Sensor selection for an accurate closed form localization in...

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IEEE Conference on industrial Electronics and Applications (ICIEA)

作者： Bin Zhao Kai Ma Xinping Guan Wengdong Xiao Key Laboratory of Industrial Computer Control Engineering of Hebei province Institute of Electrical Engineering Yanshan University슠 Qinhuangdao China Institute for Infocomm Research Agency for Science Technology and Research Singapore

In cognitive radio networks (CRNs), localization of primary user is the key problem for location-aware spectrum allocation. In order to improve spectrum utilization and decrease interference to primary users, localization should be computationally efficient and as accurate as possible. Based on an accurate closed form localization method, the tradeoff between model accuracy and geometry structure is analyzed. By selecting part of the secondary users, the estimation accuracy is increased and the computation amount is reduced at the same time. Finally, the simulations are performed and the proposed tradeoff analysis is done. The simulation results show the significant improvement on the localization performance by sensor selection.

关键词： Accuracy Geometry Cognitive radio Computational modeling Estimation Signal to noise ratio

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Performance analysis of object tracking algorithm

Performance analysis of object tracking algorithm

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International Conference on Image Analysis and Signal Processing, IASP

作者： Rongtai Cai Qingxiang Wu Ping Wang Xuguang Zhang Shuo Hu School of Physics Optics Electronic Science and Technology Fujian Normal University Fuzhou China Key Laboratory of Industrial Computer Control Engineering Yanshan University Qinhuangdao Hebei China

This paper analyzes the performance of object tracking algorithms. The issues that affect precision in object tracking are analyzed first and how the parameters in tracking algorithms affect the precision in object tracking are introduced. Then, the time complexity of those object-tracking algorithms is discussed. At last, the holistic analysis and evaluation of these object-tacking algorithms are parsed from application range, tracking precision and time complexity.

关键词： Adaptive filters Complexity theory Radar tracking Target tracking Filtering algorithms Least squares approximation Prediction algorithms

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Wind turbine bearing condition monitoring based on high frequency resonance method

Wind turbine bearing condition monitoring based on high freq...

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International Conference on Electronics, Communications and control (ICECC)

作者： Xueyan Zhang Shenggang Yang Xiaoli Li Department of Information Technology Ningbo TV & Radio University Ningbo Zhejiang China Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao China

Bearing is the most frequently used component in a wind turbine, and its' faults would lead to completely stall of a machine. Therefore, bearing Fault Diagnosis is an important part of condition monitoring in a wind turbine. This paper presented a High Frequency Resonance (HFR) method to implement bearing fault detection and fault diagnosis. This technique extracted the amplitude and frequency modulations of the vibration signals which measured from a wind turbine system. For the amplitude demodulation is inherent in the vibration signals, the fault frequency will be detected from the spectrum of the transformed original signals. And the effectiveness of this approach has been validated by simulated signal and experimental data.

关键词： Vibrations Resonant frequency Wind turbines Noise measurement Harmonic analysis Power harmonic filters Fault detection

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VTube: Towards the media rich city life with autonomous vehicular content distribution

VTube: Towards the media rich city life with autonomous vehi...

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Annual IEEE Communications Society Conference on Sensor and Adhoc Communications and Networks

作者： Luan, Tom H. Cai, Lin X. Chen, Jiming Shen, Xuemin Bai, Fan Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Electrical and Controls Integration Lab. General Motors Global R and D Warren MI 48105 United States

ISBN: (纸本)9781457700934

The copious social and user generated contents, like Facebook and Youtube, are re-shaping the way people share, access, and digest information. Although flourishing in Internet, content sharing services are still considered expensive and not ready for mobile users of vehicular networks. In this paper, we propose VTube, an autonomous and cost-effective infrastructure, to facilitate the localized content publish/subscribe in an urban area. VTube relies on the distributed low-cost light-weight storage buffers, namely roadside buffer, installed in the city facilities, such as stores, museums, cafeteria, etc., to cache and publish contents for mobile users. The contents at different storage buffers are then transported to different locations by moving vehicles and cached collaboratively in both vehicles and storage buffers across the city. In this work, we unfold the design of VTube by first presenting the detailed design principles and practices of VTube. Given the content availability and capacity of the buffer storage, we then develop a mathematical model to evaluate the mean download delay of mobile users. Using the delay as an input, we formulate the content replication problem in roadside buffers as a stochastic programming problem to attain the mean system-wide minimum download delay. Finally, we propose a fully distributed random walk based algorithm to solve the optimization problem. Extensive simulations demonstrate that VTube can minimize the download delay of users because of the exploitation of vehicle mobility and distributed buffer storage at different locations. © 2011 IEEE.

关键词： Buffer storage

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